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Error-Resilient Unequal Error Protection of Fine Granularity Scalable Video Bitstreams

  • Hua CaiEmail author
  • Bing Zeng
  • Guobin Shen
  • Zixiang Xiong
  • Shipeng Li
Open Access
Research Article
Part of the following topical collections:
  1. Advanced Video Technologies and Applications for H.264/AVC and Beyond

Abstract

This paper deals with the optimal packet loss protection issue for streaming the fine granularity scalable (FGS) video bitstreams over IP networks. Unlike many other existing protection schemes, we develop an error-resilient unequal error protection (ER-UEP) method that adds redundant information optimally for loss protection and, at the same time, cancels completely the dependency among bitstream after loss recovery. In our ER-UEP method, the FGS enhancement-layer bitstream is first packetized into a group of independent and scalable data packets. Parity packets, which are also scalable, are then generated. Unequal protection is finally achieved by properly shaping the data packets and the parity packets. We present an algorithm that can optimally allocate the rate budget between data packets and parity packets, together with several simplified versions that have lower complexity. Compared with conventional UEP schemes that suffer from bit contamination (caused by the bit dependency within a bitstream), our method guarantees successful decoding of all received bits, thus leading to strong error-resilience (at any fixed channel bandwidth) and high robustness (under varying and/or unclean channel conditions).

Keywords

Packet Loss Data Packet Scalable Video Channel Bandwidth High Robustness 

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Copyright information

© Cai et al. 2006

Authors and Affiliations

  • Hua Cai
    • 1
    Email author
  • Bing Zeng
    • 2
  • Guobin Shen
    • 1
  • Zixiang Xiong
    • 3
  • Shipeng Li
    • 1
  1. 1.Microsoft Research AsiaBeijingChina
  2. 2.Department of Electrical and Electronic EngineeringThe Hong Kong University of Science and TechnologyKowloonChina
  3. 3.Department of Electrical EngineeringTexas A&M UniversityCollege StationUSA

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